Sovereign SI for hospitals and ministries of health.
Cited clinical decision support. PRISM audit trail on every answer. Bilingual EN + NE + HI. Runs on your hardware, at forty-seven dollars a month per production node.
The problem you are actually solving
Healthcare is where the AI industry's architecture breaks first — because hallucination in a clinical setting is not a UX issue, it is a patient-safety issue. AlifZetta was built backwards from that failure mode. Every answer ships with a PRISM proof-tree that a clinician, hospital audit committee, or regulator can walk end-to-end. Every reasoning step cites a NEXUS entity — a NEML pathway, a GOLD guideline, a KDIGO recommendation, a WHO dengue algorithm — with the source link and the date the entity was last refreshed.
The pain points we hear every week
- Your team wants to deploy AI clinical decision support but compliance cannot sign off on ungrounded LLM outputs
- Every frontier-LLM pilot fails the same way: fluent but unverifiable, expensive per-query, US-hosted
- Bilingual support (English + local language) breaks 95% of frontier-lab deployments before they start
- You need clinical pathway coverage for endemic conditions — snake bite, dengue, altitude sickness, malnutrition — that no US vendor bothers to build
- Auditor asks 'why did the model recommend this dose?' and there is no defensible answer
What AlifZetta delivers
- 319 clinical pathways with NEML/GOLD/KDIGO/WHO citations, growing weekly
- Bilingual by design (EN + NE / HI / any Devanagari script) — same substrate, same query path
- Nepal-endemic protocol layers: snake bite species stratification, rabies triage, dengue severity, malnutrition Z-scores, altitude sickness
- 9 interactive triage scorers with age + gender + evidence-level parameters
- Runs on your CPU hardware — no external LLM call, no data leaves the perimeter
- PRISM proof-tree per answer — deletable, walkable, audit-safe
- Sub-3ms partner-API latency, sub-5ms cited retrieval
- $47/month per production node — same architecture at any scale
Regulatory alignment
| Regulation / framework | How AlifZetta satisfies it |
|---|---|
| FDA Software as a Medical Device | PRISM proof-tree provides the decision-path documentation the guidance requires |
| HIPAA data-lineage | Every NEXUS entity is timestamped and versioned — full data lineage per answer |
| EU MDR / IVDR | Deterministic retrieval means the same inputs always produce the same outputs — a regulatory requirement CoT stacks cannot meet |
| GDPR Article 22 | Right to meaningful explanation — a PRISM proof-tree is a meaningful explanation, a CoT trace is not |
| Nepal DPA | Runs on your on-premise hardware — data never crosses a border |
Two-week pilot workflow
- Discovery call (30 min) — map your workflow, identify the highest-value pilot target
- Fixed-fee quote — written scope + cost + timeline, no hidden add-ons
- Ingest your knowledge into NEXUS — up to 100,000 entries, cited, versioned
- Wire the CLLM cluster on your hardware — sovereign from day one
- Side-by-side comparison — 100 real queries, both stacks, quality + latency + cost
- Working authenticated endpoint + monitored baseline — the deliverable
Book a healthcare pilot conversation
30 minutes. No slides. We map your workflow to the AlifZetta stack live, quote the pilot on the call.
Email padam@axz.si → See case studies →